AbstractTwo-dimensional arrays can be compared by a generalization of dynamic programming algorithms for string comparison. Earlier algorithms have computational complexity O(N6) for comparison of two N × N arrays. The computational complexity is reduced to O(N4) in general and O(N2) algorithms are pointed out for the range limited case. An example is given to illustrate the lack of knowledge of mathematical properties of these algorithms. The problem of finding an algorithm to compute the minimum number of insertions, deletions, and substitutions to transform one array into another remains open
Needleman-Wunsch dynamic programming algorithm measures the similarity of the pairwise sequence and ...
Dynamic programming solutions to a number of different recurrence equations for sequence comparison ...
The Dynamic Programming Algorithm (DPA) was developed in the fifties. However, it is sometimes still...
Two-dimensional arrays can be compared by a generalization of dynamic pre gramming algorithms for st...
AbstractTwo-dimensional arrays can be compared by a generalization of dynamic programming algorithms...
Abstract:- Comparing two sequences by using dynamic programming algorithms is studied. Both serial a...
This paper derives a hierarchy of algorithms for pattern matching on arrays in the Bird-Meertens cal...
We study in depth a model of non-exact pattern matching based on edit distance, which is the minimum...
Our objective is to find large classes of equivalent programs which can be simply characterized so t...
Abstract Array Algorithms are defined as functional algorithms where each step of the algorithm resu...
Existing dynamic-programming algorithms for identifying similar regions of two sequences require tim...
We develop a formal model of enumeration problems and define dynamic programming in its setting. Dyn...
The intersection of sorted arrays problem has applications in search engines such as Google. Previou...
Applications of dynamic programming (DP) algorithms are numerous, and include genetic engineering an...
We describe a way to compute the edit distance of two strings without having to fill the whole dynam...
Needleman-Wunsch dynamic programming algorithm measures the similarity of the pairwise sequence and ...
Dynamic programming solutions to a number of different recurrence equations for sequence comparison ...
The Dynamic Programming Algorithm (DPA) was developed in the fifties. However, it is sometimes still...
Two-dimensional arrays can be compared by a generalization of dynamic pre gramming algorithms for st...
AbstractTwo-dimensional arrays can be compared by a generalization of dynamic programming algorithms...
Abstract:- Comparing two sequences by using dynamic programming algorithms is studied. Both serial a...
This paper derives a hierarchy of algorithms for pattern matching on arrays in the Bird-Meertens cal...
We study in depth a model of non-exact pattern matching based on edit distance, which is the minimum...
Our objective is to find large classes of equivalent programs which can be simply characterized so t...
Abstract Array Algorithms are defined as functional algorithms where each step of the algorithm resu...
Existing dynamic-programming algorithms for identifying similar regions of two sequences require tim...
We develop a formal model of enumeration problems and define dynamic programming in its setting. Dyn...
The intersection of sorted arrays problem has applications in search engines such as Google. Previou...
Applications of dynamic programming (DP) algorithms are numerous, and include genetic engineering an...
We describe a way to compute the edit distance of two strings without having to fill the whole dynam...
Needleman-Wunsch dynamic programming algorithm measures the similarity of the pairwise sequence and ...
Dynamic programming solutions to a number of different recurrence equations for sequence comparison ...
The Dynamic Programming Algorithm (DPA) was developed in the fifties. However, it is sometimes still...